Online Bayesian Learning Part 4: Non-stationary data and R-VGA
Adapting R-VGA to work in non-stationary environments.
Bayesian
Online Bayesian Learning Part 3: R-VGA
Deriving and implementing the R-VGA algorithm for online learning with neural networks on streaming binary classification data
Online Bayesian Learning Part 2: Bayesian Neural Networks With Variational Inference
A quick detour to introduce variational inference and use it to train a small Bayesian neural network with jax/eqx
Online Bayesian Learning Part 1: Exact recursive inference
Part 1 of a series of posts looking into the problem of ‘online’ learning using Bayesian methods
Bayesian climbing grades
Bayesian hierarchical model to analyze route setter bias in climbing grades. Uses PyMC to estimate ’true’ difficulty accounting for setter variations.
Cubic Spline Expansions with Logistic Regression
Flexible non-linear regression using cubic spline basis functions. Bayesian approach with PyMC for smooth curve fitting and uncertainty quantification.